{"title":"Extension of Delaunay normalisation for arbitrary powers of the radial distance","authors":"Ernesto Lanchares, Jesús F. Palacián","doi":"10.1016/j.cnsns.2024.108322","DOIUrl":null,"url":null,"abstract":"<div><p>In the framework of perturbed Keplerian systems we deal with the Delaunay normalisation of a wide class of perturbations such that the radial distance is raised to an arbitrary real number <span><math><mi>γ</mi></math></span>. The averaged function is expressed in terms of the Gauss hypergeometric function <span><math><mrow><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub><msub><mrow><mi>F</mi></mrow><mrow><mn>1</mn></mrow></msub></mrow></math></span> whereas the associated generating function is the so called Appell hypergeometric function <span><math><msub><mrow><mi>F</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>. The Gauss hypergeometric function related to the average depends on the eccentricity, <span><math><mi>e</mi></math></span>, whereas the Appell function depends additionally on the eccentric anomaly, <span><math><mi>E</mi></math></span>, and both special functions are properly defined and evaluated for all <span><math><mrow><mi>e</mi><mo>∈</mo><mrow><mo>[</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span> and <span><math><mrow><mi>E</mi><mo>∈</mo><mrow><mo>[</mo><mo>−</mo><mi>π</mi><mo>,</mo><mi>π</mi><mo>]</mo></mrow></mrow></math></span>. We analyse when the functions we determine can be extended to <span><math><mrow><mi>e</mi><mo>=</mo><mn>1</mn></mrow></math></span>. When the exponent of the radial distance is an integer, the usual values of the averaged and generating functions are recovered.</p></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1007570424005070/pdfft?md5=34d290936a857cb2d81ff20a458a095e&pid=1-s2.0-S1007570424005070-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570424005070","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
In the framework of perturbed Keplerian systems we deal with the Delaunay normalisation of a wide class of perturbations such that the radial distance is raised to an arbitrary real number . The averaged function is expressed in terms of the Gauss hypergeometric function whereas the associated generating function is the so called Appell hypergeometric function . The Gauss hypergeometric function related to the average depends on the eccentricity, , whereas the Appell function depends additionally on the eccentric anomaly, , and both special functions are properly defined and evaluated for all and . We analyse when the functions we determine can be extended to . When the exponent of the radial distance is an integer, the usual values of the averaged and generating functions are recovered.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
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